Investment Research for Everyone, Everywhere.
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Updated
Oct 31, 2024 - Python
Investment Research for Everyone, Everywhere.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
Python wrapper for TA-Lib (http://ta-lib.org/).
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
A curated list of practical financial machine learning tools and applications.
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
An advanced crypto trading bot written in Python
Collection of notebooks about quantitative finance, with interactive python code.
Portfolio analytics for quants, written in Python
High-performance TensorFlow library for quantitative finance.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
modular quant framework.
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
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